Triple

T8266663
Position Surface form Disambiguated ID Type / Status
Subject ESPN original programming E193317 entity
Predicate includesShow P81597 FINISHED
Object First Take E136831 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: First Take | Statement: [ESPN original programming, includesShow, First Take]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: First Take
Context triple: [ESPN original programming, includesShow, First Take]
  • A. First Take chosen
    First Take is an ESPN sports talk show featuring lively debates and commentary on current sports topics.
  • B. Best Take
    Best Take is a Google Pixel camera feature that lets you combine multiple group photos to swap faces and expressions so everyone looks their best in a single shot.
  • C. Face the Nation
    Face the Nation is a long-running American Sunday morning public affairs television program featuring interviews with political leaders and analysis of current events.
  • D. IFC First Take
    IFC First Take is an independent film distribution label associated with IFC Films, known for releasing arthouse and indie movies.
  • E. A Current Affair
    A Current Affair is a long-running Australian television current affairs program known for its tabloid-style coverage of news, human-interest stories, and consumer issues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794e6880819084dff5df42332835 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357ecadc81909eb92655a2cbb7e6 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:50 p.m.